# osmmcp

> osmmcp — nervsystems-osmmcp. Use this tool when you need to leverage precision geospatial capabilities for large language models, providing features like geocoding, routing, and nearby place analysis via the Model Context Protocol. It solves problems related to location-based queries, navigation, and spatial analysis, accepting location inputs and returning relevant geospatial data. Ideal for use cases requiring accurate and detailed geographic information, such as mapping, logistics, and urban planning applications.

Canonical page: https://skillsregistry.net/skills/nervsystems-osmmcp  
JSON: https://api.skillsregistry.net/v1/skills/nervsystems-osmmcp

## Description

OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NERVsystems/osmmcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nervsystems-osmmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nervsystems-osmmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nervsystems-osmmcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt